Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment

Fernando De la Torre, Minh Hoai Nguyen. Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment. In 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 24-26 June 2008, Anchorage, Alaska, USA. IEEE Computer Society, 2008. [doi]

Abstract

Abstract is missing.